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A geotagged image dataset with compass directions for studying the drivers of farmland abandonment
In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif m...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528190/ https://www.ncbi.nlm.nih.gov/pubmed/33024801 http://dx.doi.org/10.1016/j.dib.2020.106340 |
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author | Zaragozí, B. Trilles, S. Carrion, D. Pérez-Albert, M.Y. |
author_facet | Zaragozí, B. Trilles, S. Carrion, D. Pérez-Albert, M.Y. |
author_sort | Zaragozí, B. |
collection | PubMed |
description | In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository. |
format | Online Article Text |
id | pubmed-7528190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-75281902020-10-05 A geotagged image dataset with compass directions for studying the drivers of farmland abandonment Zaragozí, B. Trilles, S. Carrion, D. Pérez-Albert, M.Y. Data Brief Data Article In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository. Elsevier 2020-09-23 /pmc/articles/PMC7528190/ /pubmed/33024801 http://dx.doi.org/10.1016/j.dib.2020.106340 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Zaragozí, B. Trilles, S. Carrion, D. Pérez-Albert, M.Y. A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title | A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title_full | A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title_fullStr | A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title_full_unstemmed | A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title_short | A geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
title_sort | geotagged image dataset with compass directions for studying the drivers of farmland abandonment |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7528190/ https://www.ncbi.nlm.nih.gov/pubmed/33024801 http://dx.doi.org/10.1016/j.dib.2020.106340 |
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